The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-07"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3845718 (up from 3755341 yesterday: 2.41 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "269567 (up from 263831 yesterday: 2.17 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.01



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1257023 28420 2.31 75662 2231 3.04 6.02
Spain 221447 1122 0.51 26070 213 0.82 11.77
Italy 215858 1401 0.65 29958 274 0.92 13.88
United Kingdom 207977 5618 2.78 30689 539 1.79 14.76
Russia 177160 11231 6.77 1625 88 5.73 0.92
France 174918 694 0.40 25990 178 0.69 14.86
Germany 169430 1268 0.75 7392 117 1.61 4.36
Brazil 135773 9162 7.24 9190 602 7.01 6.77
Turkey 133721 1977 1.50 3641 57 1.59 2.72
Iran 103135 1485 1.46 6486 68 1.06 6.29
China 83975 5 0.01 4637 0 0.00 5.52
Canada 66201 1507 2.33 4541 175 4.01 6.86
Peru 58526 3709 6.77 1627 94 6.13 2.78
India 56351 3364 6.35 1889 104 5.83 3.35
Belgium 51420 639 1.26 8415 76 0.91 16.37
Netherlands 41973 455 1.10 5306 85 1.63 12.64
Saudi Arabia 33731 1793 5.61 219 10 4.78 0.65
Ecuador 30298 -1583 -4.97 1654 36 2.22 5.46
Switzerland 30126 66 0.22 1810 5 0.28 6.01
Mexico 29616 1982 7.17 2961 257 9.50 10.00
Portugal 26715 533 2.04 1105 16 1.47 4.14
Pakistan 24644 571 2.37 585 21 3.72 2.37
Sweden 24623 705 2.95 3040 99 3.37 12.35
Chile 24581 1533 6.65 285 4 1.42 1.16
Ireland 22385 137 0.62 1403 28 2.04 6.27
Singapore 20939 741 3.67 20 0 0.00 0.10
Belarus 20168 913 4.74 116 4 3.57 0.58
Qatar 18890 918 5.11 12 0 0.00 0.06
Israel 16381 71 0.44 240 1 0.42 1.47
United Arab Emirates 16240 502 3.19 165 8 5.10 1.02
Austria 15752 68 0.43 609 1 0.16 3.87
Japan 15477 224 1.47 577 21 3.78 3.73
Poland 15047 307 2.08 755 22 3.00 5.02
Romania 14499 392 2.78 888 24 2.78 6.12
Ukraine 13691 507 3.85 340 13 3.98 2.48
Indonesia 12776 338 2.72 930 35 3.91 7.28
Bangladesh 12425 706 6.02 199 13 6.99 1.60
Korea, South 10822 12 0.11 256 0 0.00 2.37
Philippines 10343 339 3.39 685 27 4.10 6.62
Denmark 10281 145 1.43 514 8 1.58 5.00
Serbia 9848 57 0.58 206 3 1.48 2.09
Colombia 9456 497 5.55 407 10 2.52 4.30
Dominican Republic 9095 288 3.27 373 11 3.04 4.10
South Africa 8232 424 5.43 161 8 5.23 1.96
Norway 8034 38 0.48 217 1 0.46 2.70
Czechia 8031 57 0.71 270 8 3.05 3.36
Egypt 7981 393 5.18 482 13 2.77 6.04
Panama 7868 137 1.77 225 7 3.21 2.86
Australia 6913 19 0.28 97 0 0.00 1.40
Kuwait 6567 278 4.42 44 2 4.76 0.67
Malaysia 6467 39 0.61 107 0 0.00 1.65
Finland 5673 100 1.79 255 3 1.19 4.49
Morocco 5548 140 2.59 183 0 0.00 3.30
Argentina 5371 163 3.13 282 9 3.30 5.25
Algeria 5182 185 3.70 483 7 1.47 9.32
Moldova 4605 129 2.88 145 2 1.40 3.15
Kazakhstan 4578 156 3.53 30 0 0.00 0.66
Bahrain 4199 265 6.74 8 0 0.00 0.19
Luxembourg 3859 8 0.21 100 2 2.04 2.59
Afghanistan 3563 171 5.04 106 2 1.92 2.98
Nigeria 3526 381 12.11 107 4 3.88 3.03
Hungary 3150 39 1.25 383 10 2.68 12.16
Ghana 3091 0 0.00 18 0 0.00 0.58
Thailand 2992 3 0.10 55 0 0.00 1.84
Oman 2958 55 1.89 15 2 15.38 0.51
Armenia 2884 102 3.67 42 2 5.00 1.46
Greece 2678 15 0.56 148 1 0.68 5.53
Iraq 2543 63 2.54 102 0 0.00 4.01
Uzbekistan 2298 65 2.91 10 0 0.00 0.44
Cameroon 2267 2 0.09 108 0 0.00 4.76
Azerbaijan 2204 77 3.62 28 0 0.00 1.27
Croatia 2125 6 0.28 86 1 1.18 4.05
Bolivia 2081 195 10.34 102 11 12.09 4.90
Bosnia and Herzegovina 2027 40 2.01 90 4 4.65 4.44
Guinea 1927 71 3.83 11 0 0.00 0.57
Bulgaria 1829 51 2.87 84 0 0.00 4.59
Iceland 1801 2 0.11 10 0 0.00 0.56
Cuba 1729 26 1.53 73 4 5.80 4.22
Estonia 1720 7 0.41 56 1 1.82 3.26
Honduras 1685 224 15.33 105 6 6.06 6.23
North Macedonia 1572 33 2.14 89 1 1.14 5.66
Cote d’Ivoire 1571 55 3.63 20 2 11.11 1.27
Senegal 1492 59 4.12 13 1 8.33 0.87
New Zealand 1490 1 0.07 21 0 0.00 1.41
Slovenia 1449 1 0.07 99 0 0.00 6.83
Slovakia 1445 16 1.12 26 1 4.00 1.80
Lithuania 1433 5 0.35 49 1 2.08 3.42
Djibouti 1133 9 0.80 3 0 0.00 0.26
Tunisia 1026 1 0.10 44 1 2.33 4.29

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 327469 3491 1.08 26144 521 2.03 7.98 16833.37 1343.92 1 in 59
New Jersey 133991 2101 1.59 8807 258 3.02 6.57 15085.36 991.53 1 in 66
Massachusetts 73721 1696 2.35 4552 132 2.99 6.17 10608.10 655.01 1 in 94
Illinois 70871 2639 3.87 3111 137 4.61 4.39 5592.80 245.51 1 in 179
California 62148 1532 2.53 2535 71 2.88 4.08 1572.88 64.16 1 in 636
Pennsylvania 55956 1156 2.11 3589 244 7.29 6.41 4370.88 280.35 1 in 229
Michigan 45745 566 1.25 4345 89 2.09 9.50 4580.52 435.07 1 in 218
Florida 38828 826 2.17 1600 61 3.96 4.12 1807.83 74.50 1 in 553
Texas 36036 1108 3.17 985 31 3.25 2.73 1242.80 33.97 1 in 805
Connecticut 31784 789 2.55 2797 79 2.91 8.80 8914.85 784.51 1 in 112
Georgia 31618 875 2.85 1355 28 2.11 4.29 2977.94 127.62 1 in 336
Louisiana 30652 253 0.83 2208 41 1.89 7.20 6593.54 474.96 1 in 152
Maryland 29374 1211 4.30 1503 66 4.59 5.12 4858.68 248.61 1 in 206
Indiana 22503 633 2.89 1414 37 2.69 6.28 3342.58 210.03 1 in 299
Ohio 22131 555 2.57 1271 46 3.76 5.74 1893.30 108.73 1 in 528
Virginia 21570 1313 6.48 769 56 7.85 3.57 2527.09 90.09 1 in 396
Colorado 18370 538 3.02 944 25 2.72 5.14 3189.94 163.92 1 in 313
Washington 16231 326 2.05 891 21 2.41 5.49 2131.48 117.01 1 in 469
Tennessee 14096 158 1.13 238 -1 -0.42 1.69 2062.88 34.83 1 in 485
North Carolina 13540 487 3.73 513 21 4.27 3.79 1290.99 48.91 1 in 775
Iowa 11059 655 6.30 231 12 5.48 2.09 3505.15 73.22 1 in 285
Rhode Island 10530 325 3.18 388 18 4.86 3.68 9939.95 366.26 1 in 101
Arizona 9945 238 2.45 450 24 5.63 4.52 1305.99 59.09 1 in 766
Missouri 9581 258 2.77 449 21 4.91 4.69 1561.08 73.16 1 in 641
Minnesota 9365 786 9.16 508 23 4.74 5.42 1660.57 90.08 1 in 602
Wisconsin 9215 314 3.53 374 12 3.31 4.06 1582.67 64.23 1 in 632
Alabama 9046 355 4.08 369 26 7.58 4.08 1844.92 75.26 1 in 542
Mississippi 8686 262 3.11 396 22 5.88 4.56 2918.54 133.06 1 in 343
Nebraska 7334 645 9.64 91 13 16.67 1.24 3791.34 47.04 1 in 264
South Carolina 7142 206 2.97 316 11 3.61 4.42 1387.14 61.37 1 in 721
Kansas 6332 339 5.66 165 1 0.61 2.61 2173.47 56.64 1 in 460
Kentucky 6129 195 3.29 294 11 3.89 4.80 1371.86 65.81 1 in 729
Delaware 5939 161 2.79 202 9 4.66 3.40 6099.01 207.44 1 in 164
Nevada 5855 114 1.99 297 8 2.77 5.07 1900.88 96.42 1 in 526
Utah 5724 129 2.31 61 3 5.17 1.07 1785.43 19.03 1 in 560
District of Columbia 5654 193 3.53 285 8 2.89 5.04 8011.35 403.83 1 in 125
New Mexico 4493 202 4.71 172 3 1.78 3.83 2142.76 82.03 1 in 467
Oklahoma 4330 128 3.05 260 7 2.77 6.00 1094.27 65.71 1 in 914
Arkansas 3703 92 2.55 87 0 0.00 2.35 1227.04 28.83 1 in 815
Oregon 2989 73 2.50 121 6 5.22 4.05 708.67 28.69 1 in 1411
South Dakota 2906 126 4.53 31 2 6.90 1.07 3284.88 35.04 1 in 304
New Hampshire 2843 102 3.72 114 22 23.91 4.01 2090.89 83.84 1 in 478
Idaho 2178 20 0.93 67 1 1.52 3.08 1215.36 37.39 1 in 823
Puerto Rico 2031 63 3.20 102 3 3.03 5.02 635.94 31.94 1 in 1572
North Dakota 1371 48 3.63 31 0 0.00 2.26 1799.07 40.68 1 in 556
Maine 1330 76 6.06 62 0 0.00 4.66 989.43 46.12 1 in 1011
West Virginia 1287 45 3.62 51 1 2.00 3.96 720.14 28.54 1 in 1389
Vermont 916 8 0.88 53 1 1.92 5.79 1467.97 84.94 1 in 681
Wyoming 635 4 0.63 7 0 0.00 1.10 1097.18 12.09 1 in 911
Hawaii 629 3 0.48 17 0 0.00 2.70 444.25 12.01 1 in 2251
Montana 456 0 0.00 16 0 0.00 3.51 426.66 14.97 1 in 2344
Alaska 374 2 0.54 10 0 0.00 2.67 511.25 13.67 1 in 1956

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1089916 327469 30.05 56026.55
New Jersey 292658 133991 45.78 32948.86
Massachusetts 351632 73721 20.97 50598.15
Illinois 379043 70871 18.70 29912.28
California 842874 62148 7.37 21331.98
Pennsylvania 262788 55956 21.29 20527.12
Michigan 247062 45745 18.52 24738.71
Florida 492950 38828 7.88 22951.67
Texas 455162 36036 7.92 15697.47
Connecticut 116174 31784 27.36 32584.75
Georgia 217303 31618 14.55 20466.64
Louisiana 200767 30652 15.27 43186.90
Maryland 148600 29374 19.77 24579.53
Indiana 124782 22503 18.03 18535.05
Ohio 176059 22131 12.57 15061.81
Virginia 123152 21570 17.51 14428.18
Colorado 91347 18370 20.11 15862.34
Washington 224813 16231 7.22 29522.80
Tennessee 236328 14096 5.96 34585.39
North Carolina 171328 13540 7.90 16335.49
Iowa 66427 11059 16.65 21054.05
Rhode Island 82318 10530 12.79 77705.33
Arizona 111086 9945 8.95 14587.99
Missouri 103622 9581 9.25 16883.62
Minnesota 97421 9365 9.61 17274.35
Wisconsin 102250 9215 9.01 17561.38
Alabama 115173 9046 7.85 23489.43
Mississippi 80787 8686 10.75 27144.81
Nebraska 37758 7334 19.42 19519.15
South Carolina 77482 7142 9.22 15048.81
Kansas 44822 6332 14.13 15385.23
Kentucky 78606 6129 7.80 17594.39
Delaware 27326 5939 21.73 28062.24
Nevada 51357 5855 11.40 16673.51
Utah 134543 5724 4.25 41966.55
District of Columbia 25856 5654 21.87 36636.25
New Mexico 85684 4493 5.24 40863.61
Oklahoma 86887 4330 4.98 21957.96
Arkansas 59995 3703 6.17 19880.21
Oregon 70458 2989 4.24 16705.17
South Dakota 20114 2906 14.45 22736.44
New Hampshire 28806 2843 9.87 21185.38
Idaho 30890 2178 7.05 17237.10
Puerto Rico 2031 2031 100.00 635.94
North Dakota 40867 1371 3.35 53626.87
Maine 23422 1330 5.68 17424.33
West Virginia 57521 1287 2.24 32185.94
Vermont 18451 916 4.96 29569.43
Wyoming 12034 635 5.28 20792.77
Hawaii 35541 629 1.77 25101.85
Montana 20247 456 2.25 18944.07
Alaska 24341 374 1.54 33273.41

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 17974 1216 7.26 3301 18.37 13979 694 43 6.61 3.86
Gujarat 7013 388 5.86 1709 24.37 4879 425 29 7.32 6.06
Delhi 5980 448 8.10 1931 32.29 3983 66 1 1.54 1.10
Tamil Nadu 5409 580 12.01 1547 28.60 3825 37 2 5.71 0.68
Rajasthan 3453 136 4.10 1903 55.11 1450 100 7 7.53 2.90
Madhya Pradesh 3252 114 3.63 1231 37.85 1828 193 8 4.32 5.93
Uttar Pradesh 3071 73 2.43 1250 40.70 1759 62 2 3.33 2.02
Andhra Pradesh 1833 56 3.15 780 42.55 1015 38 2 5.56 2.07
Punjab 1644 118 7.73 149 9.06 1467 28 1 3.70 1.70
West Bengal 1548 92 6.32 296 19.12 1101 151 7 4.86 9.75
Telangana 1122 15 1.36 693 61.76 400 29 0 0.00 2.58
Jammu and Kashmir 793 18 2.32 335 42.24 449 9 1 12.50 1.13
Karnataka 705 12 1.73 366 51.91 308 30 1 3.45 4.26
Haryana 625 31 5.22 260 41.60 358 7 0 0.00 1.12
Bihar 556 14 2.58 218 39.21 333 5 1 25.00 0.90
Kerala 503 0 0.00 474 94.23 25 4 0 0.00 0.80
Odisha 245 40 19.51 62 25.31 181 2 0 0.00 0.82
Chandigarh 135 11 8.87 21 15.56 113 1 0 0.00 0.74
Jharkhand 132 5 3.94 41 31.06 88 3 0 0.00 2.27
Tripura 88 24 37.50 2 2.27 86 0 0 NaN 0.00
Uttarakhand 61 0 0.00 39 63.93 21 1 0 0.00 1.64
Chhattisgarh 59 0 0.00 36 61.02 23 0 0 NaN 0.00
Assam 54 8 17.39 35 64.81 18 1 0 0.00 1.85
Himachal Pradesh 46 3 6.98 34 73.91 6 3 0 0.00 6.52
Ladakh 42 0 0.00 17 40.48 25 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 9 0 0.00 6 66.67 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 455294 80089 720 0.91 17.59 5848 480 32015 14745 18.41
Piemonte 194584 28135 196 0.70 14.46 2147 150 14469 3282 11.67
Emilia-Romagna 217039 26487 108 0.41 12.20 1726 173 8011 3766 14.22
Veneto 410212 18553 74 0.40 4.52 872 87 6534 1589 8.56
Toscana 166062 9683 26 0.27 5.83 437 91 4716 915 9.45
Liguria 61446 8645 94 1.10 14.07 525 57 3248 1254 14.51
Lazio 165340 7034 39 0.56 4.25 1291 89 4348 543 7.72
Marche 71017 6452 31 0.48 9.09 328 41 3247 948 14.69
Campania 101025 4541 9 0.20 4.49 415 27 2139 379 8.35
P.A. Trento 46500 4283 3 0.07 9.21 99 11 910 438 10.23
Puglia 72796 4245 49 1.17 5.83 355 35 2800 441 10.39
Sicilia 95695 3288 7 0.21 3.44 349 21 2127 251 7.63
Friuli Venezia Giulia 82012 3107 13 0.42 3.79 109 2 927 308 9.91
Abruzzo 45021 3072 25 0.82 6.82 263 12 1770 348 11.33
P.A. Bolzano 47091 2552 9 0.35 5.42 87 11 551 286 11.21
Umbria 42788 1405 1 0.07 3.28 47 9 141 70 4.98
Sardegna 31064 1324 5 0.38 4.26 90 9 583 119 8.99
Valle d’Aosta 8939 1150 4 0.35 12.86 49 2 130 139 12.09
Calabria 42854 1125 3 0.27 2.63 81 2 633 89 7.91
Basilicata 16272 383 -16 -4.01 2.35 48 2 155 26 6.79
Molise 8237 305 1 0.33 3.70 8 0 170 22 7.21

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 35249 915 2.66 2632 121 4.82 7.47 4128.64 308.28 1 in 242
Ontario 20388 478 2.40 1607 47 3.01 7.88 1385.82 109.23 1 in 722
Alberta 6017 54 0.91 114 2 1.79 1.89 1363.43 25.83 1 in 733
British Columbia 2288 33 1.46 126 2 1.61 5.51 447.67 24.65 1 in 2234
Nova Scotia 1007 9 0.90 44 3 7.32 4.37 1030.22 45.01 1 in 971
Saskatchewan 531 19 3.71 7 0 0.00 1.32 449.37 5.92 1 in 2225
Manitoba 283 -3 -1.05 7 0 0.00 2.47 205.44 5.08 1 in 4868
Newfoundland and Labrador 261 2 0.77 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1044 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 657 7 1.07
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 198 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 113 1 0.88
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3841.76 231.24 1 in 260
Spain 4745.97 558.72 1 in 211
Italy 3569.08 495.34 1 in 280
United Kingdom 3130.30 461.91 1 in 319
Russia 1226.02 11.25 1 in 816
France 2611.11 387.97 1 in 383
Germany 2046.50 89.29 1 in 489
Brazil 648.70 43.91 1 in 1542
Turkey 1654.76 45.06 1 in 604
Iran 1270.76 79.92 1 in 787
China 60.59 3.35 1 in 16505
Canada 1761.13 120.80 1 in 568
Peru 1819.27 50.58 1 in 550
India 42.08 1.41 1 in 23762
Belgium 4510.53 738.16 1 in 222
Netherlands 2443.13 308.85 1 in 409
Saudi Arabia 1024.01 6.65 1 in 977
Ecuador 1822.98 99.52 1 in 549
Switzerland 3515.29 211.20 1 in 284
Mexico 229.23 22.92 1 in 4363

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 180216 19626 10.89
Cook Illinois 48341 2110 4.36
Nassau New York 37593 1904 5.06
Suffolk New York 35892 1547 4.31
Westchester New York 30708 1184 3.86
Los Angeles California 29511 1418 4.80
Wayne Michigan 17667 2012 11.39
Hudson New Jersey 17142 935 5.45
Philadelphia Pennsylvania 17047 816 4.79
Middlesex Massachusetts 16676 1103 6.61
Bergen New Jersey 16609 1319 7.94
Essex New Jersey 15215 1375 9.04
Suffolk Massachusetts 14732 663 4.50
Passaic New Jersey 14133 703 4.97
Union New Jersey 13781 829 6.02
Miami-Dade Florida 13585 454 3.34
Middlesex New Jersey 13411 737 5.50
Fairfield Connecticut 12679 977 7.71
Rockland New York 12280 557 4.54
Essex Massachusetts 10610 578 5.45
Orange New York 9328 364 3.90
New Haven Connecticut 8678 643 7.41
Prince George’s Maryland 8516 324 3.80
Oakland Michigan 7624 789 10.35
Harris Texas 7377 154 2.09
Ocean New Jersey 7209 500 6.94
Worcester Massachusetts 7197 385 5.35
Providence Rhode Island 7138 0 0.00
Marion Indiana 6914 398 5.76
King Washington 6809 480 7.05
Hartford Connecticut 6750 867 12.84
Norfolk Massachusetts 6729 608 9.04
Monmouth New Jersey 6649 428 6.44
Orleans Louisiana 6626 463 6.99
Jefferson Louisiana 6588 391 5.94
Plymouth Massachusetts 6081 364 5.99
Montgomery Maryland 6032 345 5.72
Macomb Michigan 5876 678 11.54
Morris New Jersey 5702 503 8.82
Broward Florida 5677 230 4.05
District of Columbia District of Columbia 5654 285 5.04
Maricopa Arizona 5196 204 3.93
Dallas Texas 5120 125 2.44
Fairfax Virginia 5045 211 4.18
Mercer New Jersey 4986 313 6.28
Montgomery Pennsylvania 4915 506 10.30
Lake Illinois 4762 165 3.46
Riverside California 4756 192 4.04
Clark Nevada 4573 245 5.36
Bristol Massachusetts 4529 232 5.12

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc